from datatable.nff import save_nff
return save_nff(self, path, _strategy=_strategy)
else:
raise ValueError("Unknown `format` value: %s" % format)
#-------------------------------------------------------------------------------
# Global settings
#-------------------------------------------------------------------------------
core._register_function(7, Frame)
core._install_buffer_hooks(Frame)
options.register_option(
"core_logger",
xtype=callable,
default=None,
doc="If you set this option to a Logger object, then every call to any "
"core function will be recorded via this object.")
options.register_option(
"sort.insert_method_threshold",
xtype=int,
default=64,
doc="Largest n at which sorting will be performed using insert sort "
"method. This setting also governs the recursive parts of the "
"radix sort algorithm, when we need to sort smaller sub-parts of "
"the input.")
options.register_option("sort.thread_multiplier", xtype=int, default=2)
options.register_option("sort.max_chunk_length", xtype=int, default=1024)
class _DefaultLogger:
def debug(self, message):
if message[0] != "[":
message = " " + message
print(term.color("bright_black", message), flush=True)
def warning(self, message):
warnings.warn(message, category=FreadWarning)
# os.PathLike interface was added in Python 3.6
_pathlike = (str, bytes, os.PathLike) if hasattr(os, "PathLike") else \
(str, bytes)
options.register_option(
"fread.anonymize", xtype=bool, default=False)
core._register_function(8, fread)
#-------------------------------------------------------------------------------
# Corresponds to RT enum in "reader_parsers.h"
class rtype(enum.Enum):
rdrop = 0
rauto = 1
rbool = 2
rint = 3
rint32 = 4
rint64 = 5
class _Divider:
def __init__(self):
self.width = 3
self.margin = ""
self.header = term.color("bright_black", " | ")
self.divider = term.color("bright_black", "-+ ")
def value(self, row):
return self.header
def _float_tail(x):
idot = x.rfind(".")
if idot >= 0:
return len(x) - idot - 1
else:
return -1
options.register_option(
"display.interactive_hint", xtype=bool, default=True,
doc="Display navigation hint at the bottom of a Frame when viewing "
"its contents in the console.")
options.register_option(
"display.interactive", xtype=bool, default=False,
doc="Show datatable Frame interactively in a Python console.")
print("Refcnt: %d" % col.refcount)
widget = DataFrameWidget((datasize + 15) // 16, 17, data_viewer)
widget.render()
core.register_function(1, column_hexview)
core.register_function(4, TTypeError)
core.register_function(5, TValueError)
core.register_function(6, DatatableWarning)
core.install_buffer_hooks(Frame())
options.register_option(
"nthreads",
xtype=int,
default=0,
core=True,
doc="The number of OMP threads to be used by datatable. The value of 0 "
"(default) allows datatable to use the maximum number of threads. "
"Values less than zero allow to use that fewer threads than the "
"maximum. Finally, nthreads=1 indicates single-threaded mode.")
options.register_option(
"core_logger",
xtype=object,
default=None,
core=True,
doc="If you set this option to a Logger object, then every call to any "
"core function will be recorded via this object.")
options.register_option(
"sort.insert_method_threshold",
v if v == "nan" else v + " " * (maxtail - tails[j])
for j, v in enumerate(self._strdata)
]
def _format(self, value):
diff = self._width - term.length(value)
if diff >= 0:
whitespace = " " * diff
if self._alignleft:
return value + whitespace
else:
return whitespace + value
else:
return value[:self._width - 1] + "…"
def _float_tail(x):
idot = x.rfind(".")
if idot >= 0:
return len(x) - idot - 1
else:
return -1
options.register_option(
"display.interactive_hint",
xtype=bool,
default=True,
doc="Display navigation hint at the bottom of a Frame when viewing "
"its contents in the console.")
print("Meta: %s" % col.meta)
print("Refcnt: %d" % col.refcount)
widget = DataFrameWidget((datasize + 15) // 16, 17, data_viewer)
widget.render()
core.register_function(1, column_hexview)
core.register_function(4, TTypeError)
core.register_function(5, TValueError)
core.install_buffer_hooks(Frame())
options.register_option(
"nthreads",
xtype=int,
default=0,
core=True,
doc="The number of OMP threads to be used by datatable. The value of 0 "
"(default) allows datatable to use the maximum number of threads. "
"Values less than zero allow to use that fewer threads than the "
"maximum. Finally, nthreads=1 indicates single-threaded mode.")
options.register_option(
"core_logger",
xtype=object,
default=None,
core=True,
doc="If you set this option to a Logger object, then every call to any "
"core function will be recorded via this object.")
options.register_option(
"sort.insert_method_threshold",
